American National · 19 hours ago
P&C Data Scientist II
Chicago, IL
Full-time
Onsite
Entry, Mid Level
$80K/yr - $138K/yr
2+ years expAmerican National is a leading provider of wealth and insurance solutions, specializing in property and casualty insurance. The P&C Data Scientist II supports the development of analytical models that inform pricing, underwriting, and portfolio management decisions, utilizing statistical and machine learning techniques to enhance risk segmentation and rate adequacy.
FinanceHealthcareProperty & Casualty InsuranceHealth InsuranceAuto InsuranceFinancial ServicesHealth CareInsuranceLife Insurance
No H1B
Responsibilities
Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
Support pricing indications, rate change analyses, and segmentation testing under guidance from senior analytics or actuarial partners
Incorporate insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) into model development and interpretation
Participate in the end‑to‑end analytical lifecycle for complex initiatives: data exploration, feature engineering, model development, validation, implementation, and monitoring
Apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
Implement models and analytical outputs into existing pricing and reporting workflows
Work with large, structured and semi‑structured datasets using SQL and analytical programming languages (e.g., Python or R)
Ensure data quality, reproducibility, and proper documentation of models, assumptions, and results
Follow model development best practices and model risk governance standards
Collaborate with actuarial, underwriting, distribution, and product stakeholders to define analytical questions and success criteria
Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
Respond to feedback and iterate on analyses to better support business decisions
Stay current on industry trends, pricing methodologies, and analytical best practices within P&C insurance
Contribute ideas for improving models, processes, and data usage within the pricing analytics function
Qualification
Required
Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
Two to four years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles
A master's degree may be considered in lieu of one to two years of experience
Proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
Experience working with large, complex datasets and applying statistical or machine learning methods to real‑world business problems
Strong analytical thinking, problem‑solving, and communication skills
Preferred
Experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
Familiarity with common predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting)
Experience implementing and monitoring models in production or business workflows
Benefits
Health
Dental
Vision
401(k) with company match
Paid time off
Professional development opportunities
Company
American National
American National is an insurance company that provides life insurance, health insurance, and auto insurance services.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-08-09Acquired
Leadership Team
M
Matthew Ostiguy
Senior Vice President, P&C Chief Operating Officer, American National Insurance Company
Recent News
2025-12-01
2025-12-01
American National Insurance, LLC
2025-10-31
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